arxiv
PublishedJuly 15, 2026 at 4:00 AM
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UR-VC: Unsupervised Robotic Value Correction for Time-Derived Progress Proxies
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arXiv:2607.12892v1 Announce Type: cross Abstract: Modern robot learning systems increasingly rely on dense progress or value signals to evaluate intermediate states, guide policy learning, and detect task completion, making the quality of these signals critical. Since such dense labels are rarely av
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Originally published on arxiv ↗